Structural Models of Cortical Networks with Long-Range Connectivity

<table>Degree-dependent cluster coefficient for RPNs (left) and LPNs (right) with SW (red symbols) and FN (blue symbols) connectivity. Each figure shows the results for several different values of the parameters <svg height="9.875" id="M196" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 7.7624998 9.875" width="7.7624998" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,9.875)">
<g transform="translate(72,-64.1)">
<text transform="matrix(1,0,0,-1,-71.95,66.44)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑝</tspan>
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</svg> and <svg height="13.425" id="M197" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 10.2 13.425" width="10.2" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,13.425)">
<g transform="translate(72,-61.26)">
<text transform="matrix(1,0,0,-1,-71.95,63.6)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝜙</tspan>
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</svg>, respectively.</table>

Mathematical Problems in Engineering

Structural Models of Cortical Networks with Long-Range Connectivity

Figure 6